添加详细日志: 在关键节点加日志以便定位卡住问题

backend/app/main_graph/nodes/rag_nodes.py

@@ -45,7 +45,7 @@ def _get_rag_tool() -> Optional[callable]:
 
 # ========== RAG 检索核心逻辑 ==========
 async def _rag_retrieve_core(state: MainGraphState, pipeline) -> MainGraphState:
-    """执行 RAG 检索的核心逻辑"""
+    info(f"[RAG Core] _rag_retrieve_core 开始")
     retrieval_query = state.user_query
 
     # 优先使用推理结果中的优化查询 - 从新的结构化字段获取
@@ -55,9 +55,14 @@ async def _rag_retrieve_core(state: MainGraphState, pipeline) -> MainGraphState:
         if cfg and cfg.retrieval_query:
             retrieval_query = cfg.retrieval_query
 
+    info(f"[RAG Core] 使用检索查询: {retrieval_query[:50]}...")
     # 直接调用 pipeline 获取文档和上下文
+    info(f"[RAG Core] 调用 pipeline.aretrieve")
     documents = await pipeline.aretrieve(retrieval_query)
+    info(f"[RAG Core] pipeline.aretrieve 返回，得到 {len(documents)} 个文档")
+    info(f"[RAG Core] 调用 pipeline.format_context")
     rag_context = pipeline.format_context(documents)
+    info(f"[RAG Core] pipeline.format_context 返回")
 
     info(f"[RAG Core] 获取到 rag_context: {type(rag_context)}, 长度={len(rag_context) if rag_context else 0}")
     info(f"[RAG Core] 获取到 rag_docs: {len(documents)} 个文档")
@@ -69,15 +74,17 @@ async def _rag_retrieve_core(state: MainGraphState, pipeline) -> MainGraphState:
     state.rag_attempts = getattr(state, 'rag_attempts', 0) + 1
     # 移除对 debug_info 的依赖，不再保存 rag_scores
 
+    info(f"[RAG Core] _rag_retrieve_core 结束")
     return state
 
 
 # ========== RAG 检索节点 ==========
 async def rag_retrieve_node(state: MainGraphState, config: Optional[RunnableConfig] = None) -> MainGraphState:
-    """RAG 检索节点：检索 + 置信度评估"""
+    info(f"[RAG] rag_retrieve_node 开始")
     state.current_phase = "rag_retrieving"
     start_time = time.time()
 
+    info(f"[RAG] 调用 _get_rag_pipeline")
     pipeline = _get_rag_pipeline()
 
     await dispatch_custom_event(
@@ -87,9 +94,12 @@ async def rag_retrieve_node(state: MainGraphState, config: Optional[RunnableConf
     )
 
     try:
+        info(f"[RAG] 调用 _rag_retrieve_core")
         state = await _rag_retrieve_core(state, pipeline)
+        info(f"[RAG] _rag_retrieve_core 返回")
 
         # 评估置信度
+        info(f"[RAG] 调用 _evaluate_rag_confidence")
         confidence = await _evaluate_rag_confidence(state)
         state.rag_confidence = confidence
 
@@ -111,10 +121,11 @@ async def rag_retrieve_node(state: MainGraphState, config: Optional[RunnableConf
         )
 
     except Exception as e:
-        info(f"[RAG] 检索失败: {e}")
+        info(f"[RAG] 检索失败: {e}", exc_info=True)
         state.rag_confidence = 0.0
         state.rag_retrieved = False
 
+    info(f"[RAG] rag_retrieve_node 结束")
     return state